Pith. sign in

Paper Citation Record · LEDGER

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary

As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.18553.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.18553 v3

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:08:39.272032Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a85572e-bbce-4d02-b2d4-223c176b4fed · outbound

This paper cites Refusal in Language Models Is Mediated by a Single Direction.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Refusal in Language Models Is Mediated by a Single Direction

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:36.295096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.295096Z digest=sha256:e1db2836e594bc35a5e30916bf7cf8094feff8fa0d3ab042d36c77795ccbcd11

Observation 8843568b-2476-4aef-a437-d13abbd3763e · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:36.361613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.361613Z digest=sha256:d001b4f8087cf3e0b086ddfe80158c50b034b5525e927304d8f75d13232e1a6f

Observation 53abd113-7977-453a-8b82-67a813624b44 · outbound

This paper cites Tell me about yourself: LLMs are aware of their learned behaviors.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Tell me about yourself: LLMs are aware of their learned behaviors

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:36.489413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.489413Z digest=sha256:1e6b86557b76fe31bc28601db3d5f2b941da63c0f31714ebe0a15d68be817d30

Observation b55c7487-df42-4a6c-9c8a-85b7ea894d76 · outbound

This paper cites Looking Inward: Language Models Can Learn About Themselves by Introspection.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Looking Inward: Language Models Can Learn About Themselves by Introspection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:36.595363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.595363Z digest=sha256:b0321a6573aa4c834eab41e0db74eea020a5941287012dd3068aee8c26a3a044

Observation 04c97a1d-c13c-4ef4-84a8-2c6408658242 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Training Verifiers to Solve Math Word Problems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:36.688961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.688961Z digest=sha256:34ab1640a65627bbca797310eb90651784380f0eb74eeb7f83aa5ac9083bc0a4

Observation 3e08785a-ba2b-413c-9aaf-c8314446764b · outbound

This paper cites Does It Make Sense to Speak of Introspection in Large Language Models?.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Does It Make Sense to Speak of Introspection in Large Language Models?

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:36.808192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.808192Z digest=sha256:4238d291cd28e570d2306a37566ddccfd0fa8b0064ca0cb327f827436260e65e

Observation bc735ae7-d981-4eb3-98cc-38534912a65d · outbound

This paper cites Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:36.957679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.957679Z digest=sha256:4890e0e8c79420f6c3944718644afa1161090d9c6222afbf9c2fa05ce6333d93

Observation 1d19b981-b5a6-4ecb-a0bc-a1d8f74e08c7 · outbound

This paper cites Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:37.083536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.083536Z digest=sha256:7d48793dc02dfa0dc958a885ae02b5bd7e3cd2aeefa210d610c25fc6ea0837ca

Observation f91fd41c-1765-4611-98b1-a9fa0227f239 · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:37.209421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.209421Z digest=sha256:96003e185694b93455118c7e991dd4006ba53c2ef5f33bf1c769744664bee716

Observation eb8a5515-6542-49c4-8898-5940e292126a · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Training Large Language Models to Reason in a Continuous Latent Space

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:37.294894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.294894Z digest=sha256:e01e1219a78698aad32d2b8fea8205752e47aad8cf57edb717e96a73963e0cfe

Observation 6c21cdec-e57d-493b-98ea-bcfe95920b5d · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Measuring Mathematical Problem Solving With the MATH Dataset

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:37.337647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.337647Z digest=sha256:747b343cb572424fd01a8a893d0bc74a1eba85dd7e5f4b57e49a1deb9e99c4f7

Observation 31021af6-423e-469e-9c57-fea260c51ae5 · outbound

This paper cites Relational Preference Encoding in Looped Transformer Internal States.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Relational Preference Encoding in Looped Transformer Internal States

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:37.483971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.483971Z digest=sha256:e0ebb7fef6a6667c9ade920e9e79694cb496e2af48964c0dc3849af79a0b7ff7

Observation 7f733765-f9be-43b0-bd9c-a2579c0b9889 · outbound

This paper cites Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:37.570947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.570947Z digest=sha256:86d2a1e76f643a4c36a38ade06284ce1e731a52241b6eb3ab3392ace62fa9d86

Observation 8ab92d01-2c5d-4eb5-a741-bcc0e7ffeb29 · outbound

This paper cites an unresolved cited work.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:37.638894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.638894Z digest=sha256:68b1509bfc36e06e4c7a13c9817cf42e004f36711c6e48bac51508e2a82685b5

Observation b279f1aa-f346-47f7-9a95-01b75c4c8360 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:37.728924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.728924Z digest=sha256:8c8a130e0409b3f9ee41672d6d01ac0a8c325b56ce02c0a3f3b02dcecf102615

Observation 2ee9dde9-c887-4ede-b44e-8cfc9300ca8b · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary RewardBench: Evaluating Reward Models for Language Modeling

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:37.823880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.823880Z digest=sha256:0d9fc3e699a555f1925a30ffd3bfb313102b175b555d0661e0fc5bff17105507

Observation d7e783a4-8731-4178-bc97-c6168f4e8e66 · outbound

This paper cites Wilson, Marcelo G.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Wilson, Marcelo G

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:37.963522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.963522Z digest=sha256:70035a742073374bc873e92bbf591456a4187fc576a8f0d5cbb799b655386dda

Observation 0c0ca9a7-bccb-4f59-8e92-9f4a75f20660 · outbound

This paper cites Let's Verify Step by Step.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Let's Verify Step by Step

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:38.072198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.072198Z digest=sha256:c9390f6b4fe8b8e3d094f4b6d7a979e6d19fb85d6ce6a7df7debcfaeb6d6a981

Observation d20524e9-2a3e-4faf-8a6a-1a8276f8adc3 · outbound

This paper cites an unresolved cited work.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:38.177717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.177717Z digest=sha256:8d248a6f408d0158768c44d80f978e200f3607d9241296fc9bb205c9f6239664

Observation 634aa0a5-c83d-4869-94d1-2fd3e3cc657f · outbound

This paper cites Mechanisms of Introspective Awareness.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Mechanisms of Introspective Awareness

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:38.349157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.349157Z digest=sha256:36630c69e75a46cbc5a827d08efc361196c385cbf94a131890a1ab82e5a796ad

Observation 3965f418-3ed1-4778-818f-7b51dc2305eb · outbound

This paper cites The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:38.510698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.510698Z digest=sha256:d1b7fa7877e167b6564573e54248d9d51eedf86b3a0a65b0deb9ccf777fdf5d9

Observation d64d7624-f1d0-442a-a3f1-846587a8297c · outbound

This paper cites SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:38.619917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.619917Z digest=sha256:72b4769f1ea46bcfe40b548a4ea0785fb326c07defd2bf1a0737b56d5260060b

Observation 6e0c29cb-0314-4fe4-91d2-51258a1fdd4f · outbound

This paper cites an unresolved cited work.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:38.660742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.660742Z digest=sha256:1b8b9c71d22dc0f505e6e25e26795034ec543d10fddb64d5205c8edd5fa6fc8e

Observation 3a6cfb9c-d00a-44b1-bc49-bbdd0057ead4 · outbound

This paper cites Reasoning with Latent Thoughts: On the Power of Looped Transformers.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:38.761430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.761430Z digest=sha256:c6d205c632010e9732777a87099d50a0e6e0d36e7341f07009e8163e5a5d3be5

Observation f5f963a0-f186-4bd9-a9c6-6f47bc7ad03d · outbound

This paper cites Privileged Self-Access Matters for Introspection in AI.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Privileged Self-Access Matters for Introspection in AI

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:38.855521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.855521Z digest=sha256:900693c8009174f46b80d8e68df2b88fa287588693b3963730a97de5016b027f

Observation 563556a6-31d4-4c44-b5ab-e54fcd9796f8 · outbound

This paper cites Prioritize the Process, Not Just the Outcome: Rewarding Latent Thought Trajectories Improves Reasoning in Looped Language Models.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Prioritize the Process, Not Just the Outcome: Rewarding Latent Thought Trajectories Improves Reasoning in Looped Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:38.933972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.933972Z digest=sha256:f574371c4acd6f4623f0f7e858db423cf19f5cda0b813421a97404ca907cb41a

Observation d8fca366-16c7-40da-9099-03a5f90da3c6 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:39.020948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:39.020948Z digest=sha256:12b34a88fad2d33d3967ec7d8ae198648b7dcd5c78ba7ea0c5a0a52a2c4cedba

Observation b1f089ed-3f2d-4762-aee1-b3a92106f3e1 · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary SGLang: Efficient Execution of Structured Language Model Programs

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:39.087639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:39.087639Z digest=sha256:7c28428c14eb902cd3115f1cba139c1f5e3a530aff064527a3d0b5279b187da7

Observation d6bcd5c5-6398-40be-937b-55dca6a6b0d8 · outbound

This paper cites Scaling Latent Reasoning via Looped Language Models.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Scaling Latent Reasoning via Looped Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:39.191224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:39.191224Z digest=sha256:cedefe4e2d23cb507c6cef497bec238d33f56f91f487deae5d29c0708befe79d

Observation df708262-05cd-4e72-9a3e-c30f88663e00 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Representation Engineering: A Top-Down Approach to AI Transparency

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:39.272032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:39.272032Z digest=sha256:9bf67533c0cb184dfda7cbea5a7e79772cd60f6989180b0aab9dcd2ce6a8c392

Pith citing papers

No inbound Pith citation observations are available.